International Journal of Computer Vision - 1998 Marr Prize
Calibration and Orientation of Cameras in Computer Vision
Calibration and Orientation of Cameras in Computer Vision
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automatic Passive Recovery of 3D from Images and Video
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Web-based 3D Reconstruction Service
Machine Vision and Applications
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vlfeat: an open and portable library of computer vision algorithms
Proceedings of the international conference on Multimedia
Bundle adjustment in the large
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
PhotoCity: training experts at large-scale image acquisition through a competitive game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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The recent developments in automated image processing for 3D reconstruction purposes have led to the diffusion of low-cost and open-source solutions which can be nowadays used by everyone to produce 3D models. The level of automation is so high that many solutions are black-boxes with poor repeatability and low reliability. The article presents an investigation of automated image orientation packages in order to clarify potentialities and performances when dealing with large and complex datasets.